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Related Experiment Video

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Published on: September 27, 2024

Processing of no-release variants in connected speech.

Paul C LoCasto1, Cynthia M Connine

  • 1Department of Psychology, Quinnipiac University, 275 Mt. Carmel Ave., CLAC I, Hamden, CT 06518, USA. paul.locasto@quinnipiac.edu

Language and Speech
|August 19, 2011
PubMed
Summary
This summary is machine-generated.

This study explored how ambiguous speech sounds are processed during word recognition. Findings suggest that the frequency of sound occurrences and surrounding sounds influence spoken word recognition and lexical competition.

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Published on: September 5, 2019

Area of Science:

  • Psycholinguistics
  • Speech Perception
  • Cognitive Science

Background:

  • Spoken word recognition involves complex processes influenced by phonetic and lexical factors.
  • Lexical ambiguity, where a sound can belong to multiple words, presents a challenge for speech processing.
  • No-release variants, where a consonant sound is not fully articulated, add another layer of complexity.

Purpose of the Study:

  • To investigate the processing of lexically ambiguous no-release speech variants.
  • To examine the role of segmental regularities (voicing, phonological context) in the frequency of these variants.
  • To understand how these factors influence spoken word recognition and lexical competition.

Main Methods:

  • Utilized the cross-modal repetition priming paradigm.
  • Manipulated primes based on carrier words ending in voiced (e.g., BAND) or voiceless (e.g., PLANT) segments, followed by consonant or vowel onset context words.
  • Employed both carrier words and true embedded words (e.g., 'plan' from 'plant') as visual targets.

Main Results:

  • Probabilistic speech events, influenced by segment voicing and phonological context, significantly affect spoken word recognition.
  • The frequency of occurrence of no-release variants plays a crucial role in resolving lexical ambiguity.
  • Evidence supports the interaction between phonetic properties and lexical access in real-time word recognition.

Conclusions:

  • Probabilistic information derived from speech input is integral to spoken word recognition models.
  • The study highlights the dynamic interplay between phonetic detail and lexical knowledge.
  • Findings contribute to a deeper understanding of how listeners resolve ambiguity in continuous speech.